Triple
T32292056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacDonald White Paper |
E824988
|
entity |
| Predicate | envisionedStateComposition |
P117837
|
FINISHED |
| Object | binational Arab–Jewish state |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: binational Arab–Jewish state | Statement: [MacDonald White Paper, envisionedStateComposition, binational Arab–Jewish state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: envisionedStateComposition Context triple: [MacDonald White Paper, envisionedStateComposition, binational Arab–Jewish state]
-
A.
envisionedAs
Indicates that one entity is mentally pictured, imagined, or conceived in terms of another entity or role.
-
B.
envisionedForm
Indicates that one entity is the mental image, design, or conceptual form that another entity has imagined or planned.
-
C.
stateComponents
chosen
Indicates that something is a constituent or part of a larger state (such as a political or administrative state entity).
-
D.
formedState
Indicates that an entity brought a particular state, condition, or configuration into existence or caused it to come about.
-
E.
portraysState
Indicates that one entity visually or symbolically represents or depicts the condition, status, or situation of another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd3500608190ba9e172c0458ff9f |
completed | May 3, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:44 a.m.